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Automatic Tuning of the Step size in WLMS Algorithms:
Applications to EDGE.
Lars Lindbom,
Jonas Rutström,
Anders Ahlén
and
Mikael Sternad
IEEE Vehicular Technology Conference - VTC'02-Fall
, Vancouver, BC, Canada, Sept. 24-28 2002,
pp 2229-2233.
© 2002 IEEE
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Abstract:
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Adaptation laws that estimate time-varying
communication channels can be tuned for
efficient tracking, by adjusting filters and
gains within their structure.
However, this requires
knowledge of statistical properties
that may be poorly known or time-varying.
A possible approach is then
to adjust the gains of the
adaptation law adaptively.
The Wiener LMS adaptation algorithm (WLMS)
attains efficient tracking by incorporating
filters that are attuned to the fading statistics.
It includes a gain parameter that will here
be adjusted adaptively on line.
A WLMS channel predictor with adaptively adjusted
gain is then evaluated as a component of
receivers for EDGE systems, which use
delayed decision feedback sequence estimation.
The channel variations
for such cases have a wide variety of properties
that are tracked by gain adaptation.
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Related publications:
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Design
of the general constant-gain adaptation algorithms.
(IEEE SP 2002.)
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Analysis
of stability and performance, for slow and fast variations.
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The Wiener LMS
adaptation algorithm, a special case with low complexity.
(IEEE COM 2001)
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A Case Study on IS-136 channels.
(IEEE COM 2002)
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PhD Thesis by Lars Lindbom.
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Robust design
of adaptation laws with constant gains. (IFAC Como 2001).
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Source:
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Pdf, 311K
Postscript, 251K
Poster, Pdf, 849K
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